Companies are taking advantage of cloud computing to upgrade their business processes.
Cloud computing requires interaction with many kinds of applications, so it is necessary to …

Modern commodity processors such as GPUs may execute up to about a thousand of
physical threads per chip to better utilize their numerous execution units and hide execution …

Typically, the execution time of a kernel on a GPU is a difficult to predict measure as it
depends on a wide range of factors. Performance can be limited by either memory transfer …

Memory performance is a key bottleneck in accelerating graph analytics. Existing Machine
Learning (ML) prefetchers encounter challenges with phase transitions and irregular …

Performance prediction of GPU kernels is generally a tedious procedure with unpredictable
results. In this paper, we provide a practical model for estimating performance of CUDA …

Packet classification is a computationally intensive, highly parallelizable task in many
advanced network systems like high-speed routers and firewalls that enable different …

On modern multicore machines, the memory management typically combines address
interleaving in hardware and random allocation in the operating system (OS) to improve …

Nowadays, there are several different architectures available not only for the industry, but
also for normal consumers. Traditional multicore processors, GPUs, accelerators such as the …

Direct and iterative methods are often used to solve linear systems in engineering. The
matrices involved can be large, which leads to heavy computations on the central …

We study the relationship between memory accesses, bank conflicts, thread multiplicity (also
known as over-subscription) and instruction-level parallelism in comparison-based sorting …